The Three Things Data Practitioners Struggle With
Dataversity, Friday, September 8,2023
Data Management has never been more critical than today. As AI grows more prominent, data initiatives are more important than ever. As the digital age propels us forward, the need for robust DataOps strategies becomes evident. These strategies, however, are not devoid of challenges.
Data-focused practitioners have a unique relationship with data. They are grappling with an uptick in the number of users accessing data, which presents a multitude of challenges, such as metadata management, data movement, and data discovery. Coupled with using different systems to conduct business, managing the data created adds a layer of complexity.
Having data spread across systems and sources creates inconsistencies, further complicating trust in the quality of data. When data is spread across the organization, it's difficult to monitor and manage the quality of data. This eats time and resources and makes it difficult to integrate dispersed data. It's hard for organizations to trust their data when they never know how accurate it is.